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ML_POA
装个matlab运行ML_POA即可。
可修改其中NumDiv和LoopTimes两个变量的值来提高精度，但要注意计算两随着等分数增加成几何增长。(Matlab )
- 2010-12-01 16:58:38下载
- 积分：1
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PCA
说明： 基于主成分分析(PCA)的人脸识别系统。(Based on principal component analysis (PCA) of face recognition systems.)
- 2010-03-27 22:13:10下载
- 积分：1
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apm_simulink
MATLAB CODE FOR PYTHON
- 2013-10-24 13:04:04下载
- 积分：1
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music1
说明： 波达方向估计 应用最常规的MUSIC算法 实用！(Direction of Arrival Estimation most conventional MUSIC algorithm practical!)
- 2008-09-01 13:34:55下载
- 积分：1
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hht-emd_hht
emd 代码程序 音频信号的采集和分解，用来做经验模态分解实验。(emd-code program audio signal acquisition and decomposition, used as empirical mode decomposition experiment.)
- 2011-09-30 22:17:46下载
- 积分：1
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waili
This is an example for understanding
- 2013-12-09 18:31:10下载
- 积分：1
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@linear
针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)
- 2008-01-08 21:38:17下载
- 积分：1
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Genetic_algorithm
Genetic algorithm in Matlab. This program solving traveling salesman problem.
- 2010-01-09 00:24:26下载
- 积分：1
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rayleigh
利用改进的jack模型来仿真瑞利衰落信道(The improved jack model to simulate the Rayleigh fading channel)
- 2014-10-22 19:23:19下载
- 积分：1
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w1
说明： This program do bitplane slicing to embed watermark binary image in the least significant plane.Watermark is recovered even in presence of noise
- 2011-10-17 08:38:05下载
- 积分：1
